home / github

Menu
  • GraphQL API
  • Search all tables

issue_comments

Table actions
  • GraphQL API for issue_comments

4 rows where author_association = "NONE" and issue = 106562046 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 2

  • kuchaale 3
  • drewokane 1

issue 1

  • 1D line plot with data on the x axis · 4 ✖

author_association 1

  • NONE · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
366665888 https://github.com/pydata/xarray/issues/575#issuecomment-366665888 https://api.github.com/repos/pydata/xarray/issues/575 MDEyOklzc3VlQ29tbWVudDM2NjY2NTg4OA== kuchaale 6815953 2018-02-19T11:45:01Z 2018-02-19T11:45:01Z NONE

@dcherian go ahead. I planned to revisit it, but it would not be definitely soon.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  1D line plot with data on the x axis 106562046
344708114 https://github.com/pydata/xarray/issues/575#issuecomment-344708114 https://api.github.com/repos/pydata/xarray/issues/575 MDEyOklzc3VlQ29tbWVudDM0NDcwODExNA== kuchaale 6815953 2017-11-15T19:50:39Z 2017-11-15T19:50:39Z NONE

I think plotting two 1D variables from one Dataset against each other may be useful. However, I was not able to figure out yet how to proceed with it (see my amateur PR).

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  1D line plot with data on the x axis 106562046
341170005 https://github.com/pydata/xarray/issues/575#issuecomment-341170005 https://api.github.com/repos/pydata/xarray/issues/575 MDEyOklzc3VlQ29tbWVudDM0MTE3MDAwNQ== kuchaale 6815953 2017-11-01T17:02:51Z 2017-11-01T17:12:12Z NONE

Would it make sense to have such minimalistic line function?

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  1D line plot with data on the x axis 106562046
140913927 https://github.com/pydata/xarray/issues/575#issuecomment-140913927 https://api.github.com/repos/pydata/xarray/issues/575 MDEyOklzc3VlQ29tbWVudDE0MDkxMzkyNw== drewokane 9342082 2015-09-16T22:40:13Z 2015-09-16T22:40:13Z NONE

I agree orient would be a natural keyword to use for this situation.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  1D line plot with data on the x axis 106562046

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);
Powered by Datasette · Queries took 237.237ms · About: xarray-datasette